See a top-level view of all the information NextBio has about a gene, SNP, sequence region, biogroup, bioset, phenotype, compound, tissue, or keyword.
See how your query term correlates with public genomic data from worldwide sources. Genomic Apps provide access to billions of precomputed data correlations that are scored, ranked, and categorized using NextBio's algorithms and ontologies.
Find essential published information about your query term. These apps perform text-based searches of public databases.
Discover which genes are significantly regulated in common, across up to 50 biosets of your choice.
View your experimental datasets in interactive displays that give a unique perspective to genomic data. (More Visual Apps are on their way.)
Curious about gene expression patterns in a particular tissue or cell line? Now you can search Body Atlas with tissue and cell line queries to find tissue and cell line- related gene expression and mutational information.
Try a query for a tissue term to find overall gene expression levels in the tissue or find genes specifically enriched in the queried tissue. Or, try a query with a cell line to find overall gene expression and cell-line specific amplifications, deletions and mutations.
The new "My Data" tab merges "My Studies" and "My Projects" so you can access both studies and projects from a single location. All data previously imported or saved in studies or projects are now accessible through "My Data". Just click on the tabs within "My Data" to switch between viewing your studies or projects. Studies can still be filtered by organisms, data types, keywords and more.
Six new commands are available in the Query API.
(The Query API is available to NextBio Enterprise users.)
We're proud to announce major changes to NextBio Basic and Professional.
NextBio Public is free to users from academic, government, and non-profit research institutions. Visit our Product Comparison page to learn more about our products and why you should upgrade to NextBio Professional.
Our data-driven features and functions are now accessible as apps from the top of every page, making it easier for you to explore correlations derived from public genomic data.
How does this help you? NextBio's expert curation and data analysis let you access in an instant what would take a team of bioinformaticians and scientists months-or years-to build from scratch. We precompute data correlations across thousands of curated, publicly available genomic studies, allowing you to find answers to your biological questions from meta-analyses performed on actual experimental datasets. You can also securely import private experimental data, and use NextBio to expand your understanding of biological mechanisms of interest.
Each NextBio app answers a specific biological question about your query term. For example, to answer the question "Which diseases are correlated with the gene POU5F2?" query Disease Atlas.
Just type "POU5F2" in the query field at the top of any page, then click the Disease Atlas icon above it. You'll receive a list of experimental datasets in which POU5F2 is mutated, differentially expressed, or otherwise significant. Your list will be categorized by disease according to NextBio's disease ontology.
Want to ask many biological questions about a single query term? You can now switch views just by clicking an app's icon. (No need to go back to the original results page.) But if you want to ask the same question about many different biological terms, just enter a new query term. You'll query the current app and receive new results in the same layout.
Not sure where to begin? Get a comprehensive overview of everything NextBio can tell you about your query term or imported dataset.
Access our continuously growing library of curated public genomic data. Query this app to see how your query term or imported dataset correlate with thousands of curated public studies.
Compare gene expression levels across hundreds of human and mouse tissues, cell types, cell lines, and stem cells.
Find diseases that are significantly correlated to a gene or imported dataset.
Discover drugs and compounds whose genetic signature includes a particular gene or is enriched in an imported dataset.
Perform knockdown, knockout, or overexpression experiments in reverse: See which genetic perturbations affect a gene or imported dataset, and how.
Discover genes & SNPs found to be significant across multiple studies of a disease, compound, or tissue.
Find pathways, molecular functions, protein families, and biological processes that involve a gene or are enriched in an imported dataset.
Build a visual map of how experimental results line up with genomic elements, CNVs, SNPs, miRNA targets, and more.
Do a classic PubMed literature search, or search hundreds of biology- and health-related news sources.
Find clinical trials that interest you (including actively recruiting studies).